Convolutional Neural Networks (CNNs) have transformed deep learning by enabling machines to interpret images, detect intricate patterns, and advance various AI applications. Explore their architecture, key layers, and future potential in this comprehensive guide.
Introduction to Convolutional Neural Networks (CNN) Read More »
Over the last few years, there have been a series of breakthroughs in the field of Computer Vision.Especially with the introduction of deep Convolutional neural networks, we are getting state of the art results on problems such as image classification and image recognition. So, over the years, researchers tend to make deeper neural networks(adding more layers)
Introduction to Resnet or Residual Network Read More »
What is the Vanishing Gradient? The vanishing gradient is a phenomenon in which the gradients used to update the weights in neural networks become very small, tending closely towards zero. This becomes a problem when dealing with deep networks that have multiple hidden layers. In backpropagation, we pass the gradients of the loss function backward from
The Vanishing Gradient Problem Read More »
Activation functions play a crucial role in neural networks by determining whether a neuron should be activated or not. They introduce non-linearity, allowing networks to learn complex patterns. Without activation functions, a neural network would behave like a simple linear model, limiting its ability to solve real-world problems. In this article, we’ll explore different types
Activation Functions in Neural Networks Explained Read More »
Learn the basics of RNNs and how they process sequential data for tasks like language modeling, text classification, and machine translation. This article covers key concepts, LSTM and GRU architectures, plus real-world use cases and common challenges.
Introduction to Recurrent Neural Networks (RNNs) Read More »
Learn about the Backpropagation algorithm in neural networks. Understand how it works, its importance in training models, and how it helps optimize neural network performance.
Backpropagation Algorithm in Neural Network Read More »
With Artificial Intelligence and its technology taking over the world, the demand and the interest around the study peaks an upward graph. The hype surrounding AI boils down to its most basic cornerstone – neural networks. If you are a tech fanatic, and if you have managed to tweak your attention towards deep-diving into neural
3 Things to know before Deep diving into Neural Networks Read More »
